ANALYTICS PORTAL FOR AIR-GAPPED HYPERCONVERGED INFRASTRUCTURE IN A HYBRID CLOUD ENVIRONMENT

    公开(公告)号:US20230305873A1

    公开(公告)日:2023-09-28

    申请号:US17704020

    申请日:2022-03-25

    Applicant: VMware, Inc.

    CPC classification number: G06F9/45558 G06F2009/45595

    Abstract: An analytics portal, having a machine learning model, is deployed at an edge device in a virtualized computing environment. The machine learning model may be trained internally in the virtualized computing environment or via trained models received via an external network such as a cloud. The analytics portal is in an active mode, while another analytics portal at another host or edge device in the virtualized computing environment is in a passive mode. An election process may be used to change an analytics portal from the active mode to the passive mode. A failover process is also available to transition the passive analytics portal to the active mode, in response to a failure of the current active analytics portal.

    INTELLIGENT CAPACITY PLANNING FOR STORAGE IN A HYPERCONVERGED INFRASTRUCTURE

    公开(公告)号:US20230342174A1

    公开(公告)日:2023-10-26

    申请号:US17727829

    申请日:2022-04-25

    Applicant: VMware, Inc.

    Abstract: Intelligent capacity planning is provided for storage in a hyperconverged infrastructure environment. The storage may be a logical storage unit that is supported by storage space of a plurality of hardware disks in a virtualized computing environment. Failure predictions can be obtained for each individual hardware disk, and a failure prediction for a number of hardware disk in a hardware disk set can also be obtained. A failure prediction and/or a reduced availability prediction for the logical storage unit can be generated based at least on a configuration state of the logical storage unit, a prediction for one or more hardware disks of the logical storage unit, and a prediction time. Predictions based on what-if operations are also able to be generated.

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